Forecasting the self-sufficiency rate of China's energy by the hybrid gray models. Issue 1 (31st December 2023)
- Record Type:
- Journal Article
- Title:
- Forecasting the self-sufficiency rate of China's energy by the hybrid gray models. Issue 1 (31st December 2023)
- Main Title:
- Forecasting the self-sufficiency rate of China's energy by the hybrid gray models
- Authors:
- Fan, Decheng
Pang, Cholho
Kim, Jongsu
Jon, Song
Gu, Xiaomei - Abstract:
- ABSTRACT: In this paper, we forecast the self-sufficiency rate of China's total energy and energy compositions by two-hybrid gray models: the improved non-homogeneous gray model and nash non-linear gray multivariable model, and provide some significant data for energy policy. At first, we propose newly the improved one variable gray model (INHGM-Markov) which combines the non-homogeneous gray model (NHGM(1, 1)) with Markov chain model and forecast the production and consumption amount of China's total energy. The results show that the production and consumption amount increase slowly after 2012 and the values are 3660.10 and 4584.04 million tons of SCE in 2022. Next, the production and consumption percents of the energy compositions are simulated with the improved nash nonlinear gray multivariable model (INNGM(1, N)). In 2022, the production percents estimated to be 51.56, 7.55, 8.54, and 32.35%, respectively, for coal, crude oil, natural gas and others energy as the energy compositions, while the consumption percents 47.01, 21.82, 8.72, and 22, 45%. The production and consumption amount of coal energy have a maximum values around 2013 and 2014, and then decrease until 1887.19 and 2154.88 million tons of SCE in 2022. Finally, the forecasting values of the self-sufficiency rates of the total energy and the energy compositions are determined to be 0.79, 0.88, 0.27, 0.78, and 1.15, which means that China government should focus on securing energy resource, especially crude oilABSTRACT: In this paper, we forecast the self-sufficiency rate of China's total energy and energy compositions by two-hybrid gray models: the improved non-homogeneous gray model and nash non-linear gray multivariable model, and provide some significant data for energy policy. At first, we propose newly the improved one variable gray model (INHGM-Markov) which combines the non-homogeneous gray model (NHGM(1, 1)) with Markov chain model and forecast the production and consumption amount of China's total energy. The results show that the production and consumption amount increase slowly after 2012 and the values are 3660.10 and 4584.04 million tons of SCE in 2022. Next, the production and consumption percents of the energy compositions are simulated with the improved nash nonlinear gray multivariable model (INNGM(1, N)). In 2022, the production percents estimated to be 51.56, 7.55, 8.54, and 32.35%, respectively, for coal, crude oil, natural gas and others energy as the energy compositions, while the consumption percents 47.01, 21.82, 8.72, and 22, 45%. The production and consumption amount of coal energy have a maximum values around 2013 and 2014, and then decrease until 1887.19 and 2154.88 million tons of SCE in 2022. Finally, the forecasting values of the self-sufficiency rates of the total energy and the energy compositions are determined to be 0.79, 0.88, 0.27, 0.78, and 1.15, which means that China government should focus on securing energy resource, especially crude oil and natural gas energy, for the sustainable development of the economy. … (more)
- Is Part Of:
- Energy sources. Volume 45:Issue 1(2023)
- Journal:
- Energy sources
- Issue:
- Volume 45:Issue 1(2023)
- Issue Display:
- Volume 45, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 45
- Issue:
- 1
- Issue Sort Value:
- 2023-0045-0001-0000
- Page Start:
- 2999
- Page End:
- 3018
- Publication Date:
- 2023-12-31
- Subjects:
- Energy demand -- self-sufficiency rate -- hybrid gray model -- forecasting -- strategy
Natural resources -- Periodicals
Energy consumption -- Periodicals
Energy consumption -- Climatic factors -- Periodicals
Energy conversion -- Periodicals
Energy conversion -- Environment aspects -- Periodicals
Power (Mechanics) -- Periodicals
333.7905 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/15567036.2019.1667458 ↗
- Languages:
- English
- ISSNs:
- 1556-7036
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.793000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 26912.xml